MACF1 · rs61779313
Stands on its own. Nothing else here links to this position yet — but the page above is the point: what the research found, what each genotype means, and where it came from, in language you can read. Links to conditions, drugs and the senses appear automatically if we write them.
Strength of the evidence
Its strongest genetic-study result is p = 10−15, with 6 associations in the GWAS Catalog.
4: ClinVar disease-causing, reviewed by an expert panel or a guideline (3–4 stars). 3: ClinVar, several labs agreeing (2 stars), or a genetic study at p ≤ 10−50. 2: ClinVar from one lab (1 star), or p ≤ 10−20. 1: ClinVar submitted without criteria (0 stars), or genome-wide significance (p ≤ 5×10−8). The higher of the two counts. It says how solid the evidence is, not whether it matters for a particular person.
What the study found
Who was studied 80,160 European ancestry cases, 235,508 European ancestry controls.
The effect Each copy of the T allele shifted the measure 0.0583 lower (95% confidence interval 0.043-0.073); p = 6 × 10−16.
How common The T allele had a frequency of about 79% in the people studied.
Where it sits Chromosome 1, band 1p34.3 — in an intron of MACF1.
How common each version is
CT
C 14.2% · T 85.8%
C 12.7% · T 87.3%
C 12.6% · T 87.5%
C 16.3% · T 83.7%
C 11.7% · T 88.3%
C 17.7% · T 82.3%
C 11.8% · T 88.2%
C 16.9% · T 83.1%
The share of all copies of this position that are each version. Source: the population studies published in dbSNP (US NCBI); each row names its study.
rs61779313 is a single position in the genome, in or near the MACF1 gene. Published research associates it with diabetes / "sugar". A single variant does not decide an outcome — it shifts a probability, and for most common variants the shift is small.
No. Common variants like this one move a probability slightly and, on their own, rarely decide anything about one person. Nothing on this page is a diagnosis, and health decisions should be made with a clinician who can see your whole picture.
GWAS Catalog, Science (New York, N.Y.) 2024, PMID:39024449. Every variant on MyGeneLog comes from public primary sources and is published with its citation and the date it was checked.
Licensed CC BY-NC 4.0: free to read, share and adapt for non-commercial use, naming MyGeneLog™ and linking the exact page. Commercial use, including training or serving a commercial AI system, needs a licence — https://www.mygenelog.com/license
Diabetes / "Sugar" (rs61779313). MyGeneLog™. https://www.mygenelog.com/variants/rs61779313